Image Classification by means of CEM Algorithm based on a GARCH-2D data model

Pascual, Juan Pablo
Fernández Michelli, Juan Ignacio
Von Ellenrieder, Nicolás
Hurtado, Martin
Areta, Javier Alberto
Muravchik, Carlos Horacio

Open link

Publication date

August 2014

DOI

10.1109/TLA.2014.6872899

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

ISSN

1548-0992

Journal

IEEE Latin America Transactions

Abstract

The aim of synthetic aperture radar (SAR) classification is to assign each pixel to a class according to a feature of the illuminated area. In this work, a classification method suitable for SAR images is presented through the maximum a posteriori (MAP) criteria by means of the expectation-maximization (EM) algorithm based on a mixture of GARCH-2D processes data model. This model assumes that the data probability density function (pdf) is a combination of a finite number of pdf's of GARCH-2D processes, that represent the pixel classes and whose parameters are estimated iteratively by means of the EM algorithm. Once the parameter estimation is performed, the a-posteriori probability of each pixel belonging to each class is computed and the c...